Tim Eickenscheidt

791 total citations
15 papers, 216 citations indexed

About

Tim Eickenscheidt is a scholar working on Ecology, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Tim Eickenscheidt has authored 15 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 6 papers in Agronomy and Crop Science and 6 papers in Soil Science. Recurrent topics in Tim Eickenscheidt's work include Peatlands and Wetlands Ecology (12 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Bioenergy crop production and management (6 papers). Tim Eickenscheidt is often cited by papers focused on Peatlands and Wetlands Ecology (12 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Bioenergy crop production and management (6 papers). Tim Eickenscheidt collaborates with scholars based in Germany, Sweden and Finland. Tim Eickenscheidt's co-authors include Matthias Drösler, J. Heinichen, Annette Freibauer, Jürgen Augustin, Mika Aurela, Kerry J. Dinsmore, Cordt Zollfrank, Annalea Lohila, Per‐Erik Jansson and Urs Schmidhalter and has published in prestigious journals such as Global Change Biology, Renewable Energy and Biomass and Bioenergy.

In The Last Decade

Tim Eickenscheidt

14 papers receiving 213 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Eickenscheidt Germany 7 120 79 48 46 35 15 216
Cole D. Gross Canada 9 89 0.7× 203 2.6× 40 0.8× 65 1.4× 35 1.0× 18 325
T.C. van der Kamp Germany 4 190 1.6× 147 1.9× 69 1.4× 41 0.9× 57 1.6× 5 349
Arta Bārdule Latvia 9 99 0.8× 66 0.8× 25 0.5× 77 1.7× 41 1.2× 71 262
Delei Kong China 9 91 0.8× 204 2.6× 87 1.8× 90 2.0× 40 1.1× 10 332
Andong Shi Australia 10 100 0.8× 210 2.7× 56 1.2× 28 0.6× 36 1.0× 17 302
Kaisa Lappi Finland 6 195 1.6× 140 1.8× 65 1.4× 36 0.8× 15 0.4× 7 343
Kornelia Zepp Switzerland 9 117 1.0× 25 0.3× 75 1.6× 32 0.7× 34 1.0× 10 300
Sina Berger Germany 9 69 0.6× 150 1.9× 48 1.0× 96 2.1× 23 0.7× 13 289
Carlos Clemente Cerri Brazil 7 96 0.8× 239 3.0× 46 1.0× 51 1.1× 44 1.3× 7 355
Baldur Janz Germany 8 95 0.8× 236 3.0× 56 1.2× 47 1.0× 82 2.3× 13 401

Countries citing papers authored by Tim Eickenscheidt

Since Specialization
Citations

This map shows the geographic impact of Tim Eickenscheidt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Eickenscheidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Eickenscheidt more than expected).

Fields of papers citing papers by Tim Eickenscheidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Eickenscheidt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Eickenscheidt. The network helps show where Tim Eickenscheidt may publish in the future.

Co-authorship network of co-authors of Tim Eickenscheidt

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Eickenscheidt. A scholar is included among the top collaborators of Tim Eickenscheidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Eickenscheidt. Tim Eickenscheidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Eickenscheidt, Tim, et al.. (2025). Greenhouse Gas Mitigation Potential of Temperate Fen Paludicultures. Global Change Biology. 31(8). e70385–e70385.
3.
Eickenscheidt, Tim, et al.. (2023). Optimal harvest time for high biogas and biomass yield of Typha latifolia, Typha angustifolia and Phalaris arundinacea. Biomass and Bioenergy. 175. 106847–106847. 6 indexed citations
5.
Andrade, Diana, et al.. (2020). Suitability of paludiculture biomass as biogas substrate − biogas yield and long-term effects on anaerobic digestion. Renewable Energy. 159. 64–71. 14 indexed citations
8.
Jansson, Per‐Erik, Annalea Lohila, Mika Aurela, et al.. (2015). CO 2 fluxes and ecosystem dynamics at five European treeless peatlands – merging data and process oriented modeling. Biogeosciences. 12(1). 125–146. 29 indexed citations
9.
Eickenscheidt, Tim, J. Heinichen, & Matthias Drösler. (2015). The greenhouse gas balance of a drained fen peatland is mainly controlled by land-use rather than soil organic carbon content. Biogeosciences. 12(17). 5161–5184. 41 indexed citations
10.
Eickenscheidt, Tim. (2015). Assessment and modeling of greenhouse gas emissions (CO2, CH4, N2O) from different land-use types and management practices on drained fen peatlands and associated organic soils – case study Freisinger Moos. 2 indexed citations
11.
Tiemeyer, Bärbel, Elisa Albiac Borraz, Jürgen Augustin, et al.. (2014). Greenhouse gas budgets for grasslands on peatlands and other organic soils. EGU General Assembly Conference Abstracts. 14825. 1 indexed citations
12.
Eickenscheidt, Tim, Annette Freibauer, J. Heinichen, Jürgen Augustin, & Matthias Drösler. (2014). Short-term effects of biogas digestate and cattle slurry application on greenhouse gas emissions from high organic carbon grasslands. 6 indexed citations
13.
15.
Eickenscheidt, Tim, J. Heinichen, Jürgen Augustin, Annette Freibauer, & Matthias Drösler. (2013). Gaseous nitrogen losses and mineral nitrogen transformation along a water table gradient in a black alder ( Alnus glutinosa (L.) Gaertn.) forest on organic soils. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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